SPINEX is a system that uses artificial intelligence algorithms to automatically assess spinal balance on X-ray images. To address clinical challenges such as large measurement errors, poor consistency, and the time-consuming nature of manual spinal parameter measurements, it employs deep learning algorithms to enable automatic vertebral landmark detection, automatic pedicle segmentation, and shoulder and pelvic alignment assessment on X-ray images.
Clinical Dataset
Trained on over 10,000 spine images from real clinical scenarios.
Efficient Algorithm
Full-spine vertebral recognition in under 0.1 second, far faster than the average 10 minutes of manual measurement by physicians.
Precise Parameters
Cobb angle: average error below 1° (mean absolute percentage error, MAPE, of 18%), far below the clinically acceptable error threshold of 5°.
All-in-One
Supports measurement of more than 90 parameters for the Cervical Spine, Thoracic Spine, Lumbar Spine, Pelvis, Lower Limbs, Foot & Ankle.